Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

355
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
355
Neural Regulation01:37

Neural Regulation

43.0K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.0K
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.5K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.5K
Control Systems01:10

Control Systems

1.8K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.8K
Neural Control of Respiration01:18

Neural Control of Respiration

4.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
4.5K
Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Differential rumen responses in neonatal ruminants to volatile fatty acids, glucose, and physical stimulation: insights into the drivers of early rumen development.

Journal of advanced research·2026
Same author

Rumen microbiota inoculation indicates collaborative mechanisms enhancing propionate supply to alleviate weaning stress in lambs.

Microbiome·2026
Same author

Perceptions of Patients With Stroke Regarding an Immersive Virtual Reality-Based Exercise System for Upper Limb Rehabilitation: Questionnaire and Interview Study.

JMIR serious games·2025
Same author

Automated machine learning-based prediction of the progression of knee pain, functional decline, and incidence of knee osteoarthritis in individuals at high risk of knee osteoarthritis: Data from the osteoarthritis initiative study.

Digital health·2023
Same author

Feasibility of feeding cadmium accumulator maize (<i>Zea mays</i> L.) to beef cattle: Discovering a strategy for eliminating phytoremediation residues.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2023
Same author

Perceptions of a machine learning-based lower-limb exercise training system among older adults with knee pain.

Digital health·2023
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Jan 11, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.4K

最佳控制理论神经优化器:从反向传播到动态编程

Guan-Horng Liu, Tianrong Chen, Evangelos A Theodorou

    IEEE transactions on pattern analysis and machine intelligence
    |November 19, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究将深度神经网络 (DNN) 优化与最佳控制理论联系起来. 一个新的优化器,OCNOpt,利用动态编程来实现更强大,更有效的DNN训练.

    更多相关视频

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.0K
    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.9K

    相关实验视频

    Last Updated: Jan 11, 2026

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.4K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.0K
    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.9K

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 控制理论 控制理论

    背景情况:

    • 深度神经网络 (DNN) 对人工智能进步至关重要,但它们的优化是复杂的.
    • 可以将DNN视为动态系统,通过最佳控制实现分析.
    • 现有的优化方法,如反向传播,与动态编程具有算法相似之处.

    研究的目的:

    • 探索反向传播和动态编程之间的算法联系.
    • 开发一种基于高阶贝尔曼方程扩展的新类DNN优化方法.
    • 为了介绍最佳控制理论神经优化器 (OCNOpt).

    主要方法:

    • 将DNN解释为最佳控制编程中的动态系统.
    • 利用反向传播的变化结构.
    • 为优化应用贝尔曼方程的高阶扩展.
    • 开发一个OCNOpt算法.

    主要成果:

    • 与现有方法相比,OCNOpt表现出更好的稳定性和效率.
    • 优化器保持可管理的计算复杂性.
    • OCNOpt能够实现新的应用程序,如层级反和游戏理论方法.

    结论:

    • 反向传播和动态编程之间的联系为DNN优化提供了新的视角.
    • OCNOpt提供了基于最佳控制理论的原则算法方法.
    • 这项工作为设计高效和强大的DNN开辟了新的途径.